教条 发表于 2025-3-21 19:21:49
书目名称Computational Vision and Bio-Inspired Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0233212<br><br> <br><br>书目名称Computational Vision and Bio-Inspired Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0233212<br><br> <br><br>玩忽职守 发表于 2025-3-21 21:35:21
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Lecture Notes in Computer Science machine learning algorithm is used for Classification. The comparative analysis of features extraction using DWT + KSVM, DWT + Otsu + KSVM, and DWT + Otsu + Kmeans + KSVM is done. The proposed model DWT + Otsu + Kmeans + KSVM gives promising results compared to the prior two approaches.键琴 发表于 2025-3-22 06:09:51
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Review of Machine Learning-Based Disease Diagnosis and Severity Estimation of COVID-19,c search of online research databases including Google Scholar, PubMed, and Web of Science was conducted in accordance with the “Preferred Reporting Items for Systematic Reviews and Meta-Analysis” guidelines. The word “machine learning” was combined with COVID-19-specific keywords to construct the search syntax.无节奏 发表于 2025-3-22 19:46:03
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,Using Inception Modules to Improve the Accuracy of Image Classification,icine, and advertising. In this paper, the authors attempt to use inception modules to improve the accuracy of image classification. They come forward with a model based on inception modules that significantly improve the accuracy of baseline models.Expand 发表于 2025-3-23 03:51:48
Random Matrix Theory Application for Denoising Gene Co-expression Data,s correlations are eliminated and only strongly correlated elements are retained and the network transitions to a system of highly correlated genes as described by the Poisson statistics of RMT which can be used for further analysis.愤愤不平 发表于 2025-3-23 06:48:40
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